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Current issue

ELEKTRO 7/2019 was released on June 26th 2019. Its digital version will be available on July 26th 2019.

Topic: Cables, conductors and cable engineering, Tools, equipment and accessories for work with cables

Main Article
Asset management and diagnostic needs in Industry 4.0

SVĚTLO (Light) 4/2019 was released on July 29th 2019. Its digital version will be available on August 29th 2019.

Lighting installations
Foxtrot controls new location of barmans
Dynamic illumination of Guardian Angels’ chapel in Sušice

Accessories of lighting installations
Safety, austerity and comfort with KNX
Worldwide first LED switching source with KNX interface from MEAN WELL producer
KNX – the system with future
Schmachtl – connector installation gesis

Getting More Miles From Plug-in Hybrids

17.02.2016 | University of California | ucrtoday.ucr.edu

Plug-in hybrid electric vehicles (PHEVs) can reduce fuel consumption and greenhouse gas emissions compared to their gas-only counterparts. Researchers at the University of California, Riverside’s Bourns College of Engineering have taken the technology one step further, demonstrating how to improve the efficiency of current PHEVs by almost 12 percent.

Since plug-in hybrids combine gas or diesel engines with electric motors and large rechargeable batteries, a key component is an energy management system (EMS) that controls when they switch from ‘all-electric’ mode, during which stored energy from their batteries is used, to ‘hybrid’ mode, which utilizes both fuel and electricity. As new EMS devices are developed, an important consideration is combining the power streams from both sources in the most energy-efficient way.

Better efficiency of hybrid systems

While the UCR EMS does require trip-related information, it also gathers data in real time using onboard sensors and communications devices, rather than demanding it upfront. It is one of the first systems based on a machine learning technique called reinforcement learning (RL).

In comparison-based tests on a 20-mile commute in Southern California, the UCR EMS outperformed currently available binary mode systems, with average fuel savings of 11.9 percent. Even better, the system gets smarter the more it’s used and is not model- or driver-specific, meaning it can be applied to any PHEV driven by any individual.

Read more at University of California

Image Credit: Wikipedia

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